【摘要】 为研究粮堆渗透率的影响因素，基于分形理论，探究与渗透率密切相关的分形维数的影响因素。首先使用EDEM软件模拟粮堆形成过程，验证图像二值法盒维数检测法的准确性，再用此法测得粮堆截面的分析维数，探究粮食入库速度和颗粒均匀度两因素对分形维数的影响。结果表明，粮堆分形维数与渗透率正相关，较大的粮堆渗透率有利于后续粮堆的温度控制和机械通风降温能耗的降低。堆粮的入库速度对于粮堆的渗透率有较大影响，模拟发现单个运粮机速度为14.3 t/h时，分形维数较大，渗透率较大，同时不影响堆粮的效率；粮堆的堆积方式对于渗透率的影响较小，采用运粮机自然堆积方式对粮食比较有利。计算结果对于指导粮食入库具有参考意义。更多还原

【Abstract】 In order to study the influencing factors of grain pile permeability, the influencing factors of fractal dimension closely related to permeability were explored based on fractal theory. Firstly, EDEM software is used to simulate the formation process of grain pile to verify the accuracy of the box dimension detection method of image binary method. Then this method is used to measure the analytical dimension of grain pile section,and explore the influence of grain warehousing speed and particle uniformity on fractal dimension. The results show that the fractal dimension of grain pile is positively correlated with permeability, and a larger permeability of grain pile is conducive to the temperature control of subsequent grain pile and the reduction of mechanical ventilation and cooling energy consumption. The storage speed of grain stockpile has a great influence on the permeability of grain stockpile. It is found that when the speed of a single grain conveyor is 14.3 t/h, the fractal dimension is large and the permeability is large, and the efficiency of grain stockpile is not affected; The stacking mode of grain pile has less impact on permeability, and the natural stacking mode of grain conveyor is more beneficial to grain. The calculation results have reference significance for guiding grain warehousing.更多还原